基于本体的机器学习接口

Proceedings of the 10th international conference on Intelligent user interfaces Pub Date : 2005-01-10 DOI:10.1145/1040830.1040911

M. Bauer, Stephan Baldes

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引用次数: 27

摘要

机器学习(ML)是一个复杂的过程，非专业用户很难完成。特别是当使用自适应系统来解释和利用用户的观察来根据用户的感知偏好修改他们的行为时，甚至naïve用户也可能面临学习系统。本文提出了一种使非专业用户理解和影响机器学习系统的方法，例如提高对整个系统行为的信任和接受度。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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An ontology-based interface for machine learning

Machine learning (ML) is a complex process that can hardly be carried out by non-expert users. Especially when using adaptive systems that interpret and exploit observations of the user to modify their behavior according to the user's perceived preferences, even naïve users may be confronted with learning systems. This paper presents an approach to make non-expert users understand and influence an ML system such as to improve trust and acceptance of the overall system behavior.

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Proceedings of the 10th international conference on Intelligent user interfaces

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